DeepSeek 正在研发自研 AI 芯片,旨在减少对英伟达的依赖。
DeepSeek Developing In-House AI Chip In Bid To Cut Nvidia Reliance

原始链接: https://www.zerohedge.com/ai/deepseek-developing-house-ai-chip-bid-cut-nvidia-reliance

深度求索(DeepSeek)已加入人工智能公司自研芯片的行列,旨在减少对英伟达和华为等外部供应商的依赖。通过设计自有的AI推理硬件,该公司计划降低成本并加强对计算架构的掌控,这与其美国科技巨头(如Meta、微软和OpenAI)的战略不谋而合。 此举顺应了中国国内的整体趋势:受美国出口限制影响,本土企业正加速转向国产半导体替代方案。彭博行业研究近期的一项调查显示,中国企业计划在未来一年内大幅增加对国内AI基础设施的预算投入。 尽管这些进展目前尚不会威胁到英伟达的市场统治地位,但已释放出长期的阻力信号。随着中国AI模型在全球范围内获得认可,以及本土芯片能力的提升,行业正朝着计算市场碎片化的方向演进。因此,投资者正在重新评估英伟达的长期增长空间,因为自研芯片和国产芯片的广泛普及可能会削弱该公司目前在AI硬件领域的垄断地位。

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原文

DeepSeek is developing its own artificial intelligence chip, a move that could reduce its reliance on both US-based Nvidia and China-based Huawei.

Leading model developers are increasingly seeking to control more of their compute stacks, particularly for inference, as AI models move from training labs into the mass market.

DeepSeek is the latest company to pursue this strategy by developing a new in-house inference chip, Reuters reports.

If successful, this effort would mark a major shift for the Chinese AI chatbot company and add new pressure on Nvidia's long-term dominance across the AI compute market. It would also add pressure on Huawei, which has benefited from US export controls that blocked Chinese firms from buying Nvidia's most advanced AI chips.

US companies such as Meta Platforms, Microsoft, OpenAI, and Anthropic are also increasingly turning to in-house chips to reduce AI infrastructure costs.

According to the report, DeepSeek's effort to design a new inference chip is in the "early stages," suggesting that developing a competitive AI chip could take a few years.

A new Bloomberg Intelligence survey found that an increasing number of Chinese companies are shifting away from Nvidia's advanced AI chips.

Chinese executives expect to allocate 46% of their AI accelerator budgets to domestic AI infrastructure over the next 12 months, up from 30% today, according to the survey.

The findings point to growing momentum behind Beijing's push to replace Nvidia in domestic chip stacks.

"China's drive to substitute locally made AI semiconductors for foreign ones is making progress, which is likely to benefit domestic markers such as Huawei and Hygon," said the report, which surveyed dozens of executives at Chinese software, finance, manufacturing and retail companies.

For Nvidia, the risk is not an immediate loss of market share, but a longer-term shift in which Chinese companies and AI chatbot startups increasingly seek in-house or domestically produced chips, suggesting mounting headwinds for Nvidia.

Meanwhile, the token-maxxing fiasco appears to have accelerated a global shift toward low-cost models, a trend that may favor Chinese AI chatbots.

Bloomberg cited OpenRouter data showing that Chinese models are capturing a growing share of developer usage, suggesting that China's AI firms are becoming more competitive in global model adoption.

Magnificent Seven stocks were mixed Tuesday morning, with Nvidia down about 2%.

Nvidia remains up roughly 5% year-to-date, but the stock is still about 17% below its May peak, as investors reassess the longer-term risk of AI model developers building more of their own compute stacks and China seeking to source domestic AI chips.

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